Robust Passivity and Passification for a Class of Singularly Perturbed Nonlinear Systems with Time-Varying Delays and Polytopic Uncertainties via Neural Networks Academic Article uri icon


  • This paper investigates the problem of robust passivity and passification for a class of singularly perturbed nonlinear systems (SPNS) with time-varying delays and polytopic uncertainties via neural networks. By constructing a proper functional and the linear matrix inequalities (LMIs) technique, some novel sufficient conditions are derived to make SPNS passive. The allowable perturbation bound - can be determined via certain algebra inequalities, and the proposed controller based on neural network will make SPNS with polytopic uncertainties passive for all (0, - ). Finally, a numerical example is given to illustrate the theoretical results. 2012 Springer Science+Business Media New York.

published proceedings


author list (cited authors)

  • Wen, S., Zeng, Z., Huang, T., & Bao, G.

citation count

  • 6

complete list of authors

  • Wen, Shiping||Zeng, Zhigang||Huang, Tingwen||Bao, Gang

publication date

  • October 2013